Source and environmental parameter estimation using electromagnetic matched field processing
نویسندگان
چکیده
Modern signal and array processing methods now incorporate the physics of wave propagation as an integral part of the processing. Matched field processing (MFP) refers to signal and array processing techniques in which, rather than a plane wave arrival model, complex-valued (amplitude and phase) field predictions for propagating signals are used. Matched field processing has been successfully applied in ocean acoustics and electromagnetics. In this paper, source localization performance via MFP is examined in the electromagnetics domain. Specifically, the impact of uncertainty in the a priori knowledge of the underlying physical parameters, atmospheric refractivity vs height, on source localization performance is examined.
منابع مشابه
Motion Parameter Estimation via Dopplerlet-Transform-Based Matched Field Processing
This work presents a matched field processing (MFP) algorithm based on Dopplerlet transform for estimating the motion parameters of a sound source moving along a straight line and with a constant speed by using a piecewise strategy, which can significantly reduce the computational burden. Monte Carlo simulation results and an experimental result are presented to verify the effectiveness of the ...
متن کاملThe impact of wind-generated bubble layer on matched field sound source localization in shallow water (Research Article)
This paper investigates the effect of the wind-generated bubble layer on the underwater sound source localization in the Persian Gulf shallow-water environment through computer simulation and the matched field processing technique. An underwater sound source of 2-10 kHz located at depths of 10, 45, and 75 m was considered at a distance of 4 km from a linear vertical receiver array. The estimati...
متن کاملSource Depth Estimation Using a Horizontal Array by Matched-Mode Processing in the Frequency-Wavenumber Domain
In shallow water environments, matched-field processing (MFP) and matched-mode processing (MMP) are proven techniques for doing source localization. In these environments, the acoustic field propagates at long range as depth-dependent modes. Given a knowledge of the modes, it is possible to estimate source depth. In MMP, the pressure field is typically sampled over depth with a vertical line ar...
متن کاملElectromagnetic matched field processing for source localization
Matched eld processing (MFP) refers to signal and array processing techniques in which, rather than a planewave arrival model, complex-valued (amplitude and phase) eld predictions for propagating signals are used. Matched eld processing has been successfully applied in ocean acoustics. In this paper the extension of MFP to the electromagnetic domain, i.e., electromagnetic (EM) MFP (EM-MFP) is d...
متن کاملA minmax approach to adaptive matched field processing in an uncertain propagation environment
Adaptive array processing algorithms have achieved widespread use because they are very effective at rejecting unwanted signals (i.e., controlling sidelobe levels) and in general have very good resolution (i.e., have narrow mainlobes). However, many adaptive high-resolution array processing algorithms suffer a significant degradation in performance in the presence of environmental mismatch. Thi...
متن کامل